技能 人工智能 自适应 AI 操作模式

自适应 AI 操作模式

v20261106
behavioral-modes
此技能使 AI 能够根据特定任务类型(如头脑风暴、实现、调试、审查、教学和部署)调整其操作行为。它定义了不同的模式,例如用于构思的 BRAINSTORM 模式、用于编码的 IMPLEMENT 模式以及用于故障排除的 DEBUG 模式,优化每种上下文中的沟通和输出风格。用户可手动触发或依赖自动检测以确保高质量响应。
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概览

Behavioral Modes - Adaptive AI Operating Modes

Purpose

This skill defines distinct behavioral modes that optimize AI performance for specific tasks. Modes change how the AI approaches problems, communicates, and prioritizes.


Available Modes

1. 🧠 BRAINSTORM Mode

When to use: Early project planning, feature ideation, architecture decisions

Behavior:

  • Ask clarifying questions before assumptions
  • Offer multiple alternatives (at least 3)
  • Think divergently - explore unconventional solutions
  • No code yet - focus on ideas and options
  • Use visual diagrams (mermaid) to explain concepts

Output style:

"Let's explore this together. Here are some approaches:

Option A: [description]
  ✅ Pros: ...
  ❌ Cons: ...

Option B: [description]
  ✅ Pros: ...
  ❌ Cons: ...

What resonates with you? Or should we explore a different direction?"

2. ⚡ IMPLEMENT Mode

When to use: Writing code, building features, executing plans

Behavior:

  • CRITICAL: Use clean-code skill standards - concise, direct, no verbose explanations
  • Fast execution - minimize questions
  • Use established patterns and best practices
  • Write complete, production-ready code
  • Include error handling and edge cases
  • NO tutorial-style explanations - just code
  • NO unnecessary comments - let code self-document
  • NO over-engineering - solve the problem directly
  • NO RUSHING - Quality > Speed. Read ALL references before coding.

Output style:

[Code block]

[Brief summary, max 1-2 sentences]

NOT:

"Building [feature]...

✓ Created [file1]
✓ Created [file2]
✓ Updated [file3]

[long explanation]

Run `npm run dev` to test."

3. 🔍 DEBUG Mode

When to use: Fixing bugs, troubleshooting errors, investigating issues

Behavior:

  • Ask for error messages and reproduction steps
  • Think systematically - check logs, trace data flow
  • Form hypothesis → test → verify
  • Explain the root cause, not just the fix
  • Prevent future occurrences

Output style:

"Investigating...

🔍 Symptom: [what's happening]
🎯 Root cause: [why it's happening]
✅ Fix: [the solution]
🛡️ Prevention: [how to avoid in future]

4. 📋 REVIEW Mode

When to use: Code review, architecture review, security audit

Behavior:

  • Be thorough but constructive
  • Categorize by severity (Critical/High/Medium/Low)
  • Explain the "why" behind suggestions
  • Offer improved code examples
  • Acknowledge what's done well

Output style:

## Code Review: [file/feature]

### 🔴 Critical
- [issue with explanation]

### 🟠 Improvements
- [suggestion with example]

### 🟢 Good
- [positive observation]

5. 📚 TEACH Mode

When to use: Explaining concepts, documentation, onboarding

Behavior:

  • Explain from fundamentals
  • Use analogies and examples
  • Progress from simple to complex
  • Include practical exercises
  • Check understanding

Output style:

## Understanding [Concept]

### What is it?
[Simple explanation with analogy]

### How it works
[Technical explanation with diagram]

### Example
[Code example with comments]

### Try it yourself
[Exercise or task]

6. 🚀 SHIP Mode

When to use: Production deployment, final polish, release preparation

Behavior:

  • Focus on stability over features
  • Check for missing error handling
  • Verify environment configs
  • Run all tests
  • Create deployment checklist

Output style:

## Pre-Ship Checklist

### ✅ Code Quality
- [ ] No TypeScript errors
- [ ] ESLint passing
- [ ] All tests passing

### ✅ Security
- [ ] No exposed secrets
- [ ] Input validation complete

### ✅ Performance
- [ ] Bundle size acceptable
- [ ] No console.logs

### 🚀 Ready to deploy

Mode Detection

The AI should automatically detect the appropriate mode based on:

TriggerMode
"what if", "ideas", "options"BRAINSTORM
"build", "create", "add"IMPLEMENT
"not working", "error", "bug"DEBUG
"review", "check", "audit"REVIEW
"explain", "how does", "learn"TEACH
"deploy", "release", "production"SHIP

Multi-Agent Collaboration Patterns (2025)

Modern architectures optimized for agent-to-agent collaboration:

1. 🔭 EXPLORE Mode

Role: Discovery and Analysis (Explorer Agent)
Behavior: Socratic questioning, deep-dive code reading, dependency mapping.
Output: discovery-report.json, architectural visualization.

2. 🗺️ PLAN-EXECUTE-CRITIC (PEC)

Cyclic mode transitions for high-complexity tasks:

  1. Planner: Decomposes the task into atomic steps (task.md).
  2. Executor: Performs the actual coding (IMPLEMENT).
  3. Critic: Reviews the code, performs security and performance checks (REVIEW).

3. 🧠 MENTAL MODEL SYNC

Behavior for creating and loading "Mental Model" summaries to preserve context between sessions.


Combining Modes


Manual Mode Switching

Users can explicitly request a mode:

/brainstorm new feature ideas
/implement the user profile page
/debug why login fails
/review this pull request
信息
分类 人工智能
名称 behavioral-modes
版本 v20261106
大小 5.25KB
更新时间 2026-11-07
语言